Director of Applied AI & Machine Learning - Banking (On-site)
Pearson Whiffin has recently partnered with a leading organization in Nebraska that is looking for an experienced Director of Applied AI & Machine Learning to lead their cutting-edge AI team in the financial sector.
Our client is seeking a visionary leader with deep expertise in generative AI, machine learning, and data analytics to drive strategic AI capabilities across the organization.
This is a key leadership role where you’ll be at the forefront of leveraging AI to transform business operations, enhance customer experiences, and position the organization as an AI-enabled leader in financial services.
What You’ll Do:
- Develop and execute an AI strategy aligned with the organization’s growth goals, especially in Generative AI and machine learning.
- Lead a high-performing AI team and build a Center of Excellence focused on AI adoption and innovation.
- Drive AI implementation using tools like AWS Bedrock, Sagemaker, and Snowflake Data Cloud to democratize access to data and fuel AI-driven insights.
- Collaborate with business leaders to align AI strategies with enterprise objectives, building a roadmap to maximize the impact of AI solutions.
- Oversee risk management practices for AI models, ensuring regulatory compliance and data security.
- Foster an innovation culture by staying current on emerging AI trends and driving continuous improvement.
- Measure and communicate business impact, quantifying AI’s value across the organization.
Skills & Experience:
- A bachelor’s degree in Computer Science, Data Science, or a related field.
- 10+ years of experience in AI or data science roles, including 5+ years in leadership, preferably within the financial services sector.
- Proven experience in AI/ML implementations in large organizations, with expertise in machine learning, NLP, and predictive analytics.
- Strong understanding of data governance and regulatory requirements in the financial industry.
- Excellent communication skills for translating technical insights to non-technical stakeholders.
- Familiarity with cloud platforms and experience implementing Gen AI and data strategies in a regulated environment.
Benefits:
- Bonus & Equity Offerings
- Medical, Dental, Vision Insurance
- 401k, With Matching Contributions
- Time Off Programs